Give one goal
Describe the outcome. AME can break the mission into work for specialized agents.
AME · AI workforce for real work
Multi-agent AI that works like a team.
Instead of managing isolated chat windows, AME lets AI agents hand work to each other. Researcher can pass findings to Developer, Growth can use the result, and Commander can coordinate the final output.
What matters
Choose around the work.
Agent-to-agent handoffs
Shared mission context
Parallel tasks
One final coordinated result
Why AME
Chatbots answer. AME works.
AME combines agents, shared context, computer use, and coordinated execution so one goal can become a real workflow instead of another conversation you have to manage.
Agents coordinate
Teammates can pass context and outputs forward instead of making you repeat yourself.
Keep control
Use approvals and limits for sensitive or expensive actions while routine work keeps moving.
Explore AME
Related AI agent pages.
Build your AI team
Give AME real work.
Start with one AI worker and scale to a coordinated workforce.